… up domain adaptation for thermal pedestrian detection, in this article we focus on improving
pedestrian detection results on thermal-… CNN-based thermal infrared person detection by do- …

… domain adaptation of pedestrian detectors to thermal imagery. Our key idea is to augment a
detector … A few works have addressed pedestrian detection using thermal (IR) imagery only. …

… In this study, the topic of interest is object detection and tracking. CNN-based DL models …
-of-the-art for real-time object detection and recognition on the edge – a common requirement …

… trained on ImageNet and adapted them to detect in the visible or infrared spectrum. Halfway
fusion … Several CNN-based pedestrian detection methods compete for the state-of-the-art on …

… approach for domain adaptation to enhance the performance of pedestrian detection based
solely on thermal images… Beyerer, “CNN-based thermal infrared person detection by domain …

… through the combination of domain adaptation and fine-tuning … Therefore, most CNN-based
face PAD methods function in a … We apply MTCNN face detector [31] to detect the face and …

… its ability to detect objects can be well adopted to other domains where objects … domain
adaptation framework to force a model to extract similar features regardless of the source domain…

… Near-infrared image in this paper refer to images containing the information of the object
under the wavelength of the near-infrared … Liu, “Multi-channel cnn-based object detection for …

… CNN-based detectors can be broadly classified into two … [8] proposed TIRNet to detect
objects in thermal IR images to … unsupervised domain adaptation for thermal object detection. …

… Beyerer, “Cnn-based thermal infrared person detection by domain adaptation,” in Autonomous
… Beyerer, “Real-time person detection in low-resolution thermal infrared imagery with mser …